Improved simulation of very heavy rainfall events by incorporating WUDAPT urban land use/land cover in WRF

被引:48
作者
Patel, Pratiman [1 ]
Karmakar, Subhankar [1 ,2 ]
Ghosh, Subimal [1 ,3 ]
Niyogi, Dev [4 ]
机构
[1] Indian Inst Technol, Interdisciplinary Programme Climate Studies, Bombay, Maharashtra, India
[2] Indian Inst Technol, Environm Sci & Engn Dept, Bombay, Maharashtra, India
[3] Indian Inst Technol, Dept Civil Engn, Bombay, Maharashtra, India
[4] Purdue Univ, Dept Earth Atmosphere Planetary & Sci, W Lafayette, IN 47907 USA
基金
美国国家科学基金会;
关键词
LOCAL CLIMATE ZONES; 26; JULY; 2005; PRECIPITATION; CONVECTION; CLASSIFICATION; FORECASTS; MUMBAI; ISLAND; MODEL; PARAMETERIZATION;
D O I
10.1016/j.uclim.2020.100616
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A World Urban Data Analysis and Portal Tool (WUDAPT) based Local Climate Zone (LCZ) classification and mapping is done for Mumbai, India. Prior WUDAPT-based urban studies have primarily focused on urban heat island (UHI) assessment, and this is the first study to assess the impact on rainfall simulations. Accordingly, in this study, the impact of incorporating the LCZ map in the Weather Research and Forecasting (WRF) model for simulating very heavy rainfall events over Mumbai is assessed. The classified LCZ map is incorporated in the WRF model, and the model performance is compared against the Control, for four recent very heavy rain events. Comparing the results from paired simulations reveals that the rainfall amount and spatial variability is significantly different when the LCZ framework is used. Implementation of WUDAPT data, introduces heterogeneity in the morphological characteristics of the city, which contributes to microscale feedbacks that appear to organize and impact the mesoscale convergence/divergence and convection fields in the WRF model. The study results show variability within the cases highlighting the need for additional investigations in different cities. Overall, the incorporation of WUDAPT LCZs in WRF results in notably improving the model performance for heavy rainfall simulation in urban areas. © 2020 Elsevier B.V.
引用
收藏
页数:15
相关论文
共 64 条
[1]  
[Anonymous], ATLAS URBAN EXPANSIO
[2]  
Bartolozzi Chiara, 2017, 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), DOI 10.1109/BIOCAS.2017.8325104
[3]   Classification of Local Climate Zones Using SAR and Multispectral Data in an Arid Environment [J].
Bechtel, Benjamin ;
See, Linda ;
Mills, Gerald ;
Foley, Micheal .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (07) :3097-3105
[4]   Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities [J].
Bechtel, Benjamin ;
Alexander, Paul J. ;
Boehner, Juergen ;
Ching, Jason ;
Conrad, Olaf ;
Feddema, Johannes ;
Mills, Gerald ;
See, Linda ;
Stewart, Iain .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2015, 4 (01) :199-219
[5]   Classification of Local Climate Zones Based on Multiple Earth Observation Data [J].
Bechtel, Benjamin ;
Daneke, Christian .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2012, 5 (04) :1191-1202
[6]  
Bossard M., 2000, CORINE LAND COVER TE
[7]  
BOUGEAULT P, 1989, MON WEATHER REV, V117, P1872, DOI 10.1175/1520-0493(1989)117<1872:POOITI>2.0.CO
[8]  
2
[9]   Using Local Climate Zones in Sub-Saharan Africa to tackle urban health issues [J].
Brousse, Oscar ;
Georganos, Stefanos ;
Demuzere, Matthias ;
Vanhuysse, Sabine ;
Wouters, Hendrik ;
Wolff, Eleonore ;
Linard, Catherine ;
van Lipzig, Nicole P-M ;
Dujardin, Sebastien .
URBAN CLIMATE, 2019, 27 :227-242
[10]   WUDAPT, an efficient land use producing data tool for mesoscale models? Integration of urban LCZ in WRF over Madrid [J].
Brousse, Oscar ;
Martilli, Alberto ;
Foley, Michael ;
Mills, Gerald ;
Bechtel, Benjamin .
URBAN CLIMATE, 2016, 17 :116-134